@inproceedings{581bc5d4884040d498ad66e6d79bdc08,
title = "Semi-blind robust identification/model (In)validation with applications to macro-economic modelling",
abstract = "This paper addresses the problems of worst-case identification and model invalidation of systems subject to unknown initial conditions. While in principle these problems lead to non-convex Bilinear Matrix Inequalities (BMIs), we show that tractable convex relaxations are readily available. The potential of these techniques is illustrated by identifying and validating a subsystem of the macro-economy relating inflation and interest-rates.",
author = "W. Ma and M. Yilmaz and M. Sznaier and C. Lagoa",
note = "Funding Information: This work was supported by NSF grants ECS–0115946 and ECS–0221562.",
year = "2005",
doi = "10.3182/20050703-6-cz-1902.00149",
language = "English (US)",
isbn = "008045108X",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
publisher = "IFAC Secretariat",
number = "1",
pages = "886--891",
booktitle = "Proceedings of the 16th IFAC World Congress, IFAC 2005",
address = "Austria",
edition = "1",
}